Solution Innovation Architect - AI/ML

Solution Innovation Architect – AI/ML

Company	Snowflake
Location	Oakland, CA, USA, Chicago, IL, USA, New York, NY, USA, Atlanta, GA, USA
Salary	$136000 – $201200
Type	Full-Time
Degrees	Bachelor’s
Experience Level	Senior

Minimum of 5 years in an AI and ML role, where you will have built and deployed at least 1 ML model into production.
Minimum of 5 years experience working in a customer facing technical delivery role.
Have a strong understanding of the model life-cycle; model development, model training, and MLOps/observability.
Experience with GenerativeAI, LLMs, and Vector Databases.
Have a strong understanding of the GenerativeAI landscape, its use, and application.
Have a strong understanding of Large Language Models (LLMs), and the different architectures that are appropriate for each use-case.
Strong understanding of MLOps, coupled with technologies and methodologies for deploying and monitoring models.
Hands-on scripting experience with Python, with experience using libraries such as Pandas, HuggingFace, XGBoost, PyTorch, TensorFlow, SciKit-Learn or similar.
Strong skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
University degree in data science, mathematics or related fields, or equivalent experience.

Design, architect, and build AI/ML Solutions using the Snowflake platform.
Support workshop and design thinking sessions, to deliver discovery sessions with customer stakeholders to specify advanced use-cases and solutions.
Work closely with Data Scientists, Machine Learning Engineers, and AI Engineers to understand the requirements of proposed solutions and applications.
Design, train and build AI/ML models for use within customer solutions and use-cases.
Provide technical expertise and enablement on all aspects of Snowflake in relation to the AI/ML suite of features to customer teams as part of solution development/delivery.
Stay up to date with the latest advancements in AI/ML.
Provide thought leadership on AI/ML in Snowflake through external content such as webinars, event presentations, and blog posts.